Results 121 to 130 of about 1,693,251 (168)

Evaluating model robustness in landslide susceptibility mapping using a unified data-consistent framework in northern Thailand. [PDF]

Sci Rep
Manopkawee P, Mankhemthong N, Tongsae M, Panna N.   +3 more
europepmc   +1 more source

Rainfall-conditioned landslide susceptibility mapping in data-scarce regions using an interpretable deep convolutional neural network: a case study of the Jebel Marra volcanic massif, Sudan. [PDF]

Sci Rep
Mohammed MAA, Daoud AMA, Eltijani A, Mohieldain AA, Szabó NP, Szűcs P.   +5 more
europepmc   +1 more source

AHP multi criteria analysis for landslide susceptibility mapping in the Tellian Atlas chain. [PDF]

Sci Rep
Zighmi K, Zahri F, Faqeih K, Al Amri A, Riheb H, Alamri SM, Alamery E.   +6 more
europepmc   +1 more source

Optimizing machine learning and bagging-based hybrid models for landslide susceptibility mapping: a case study in Chenggu County, China. [PDF]

Sci Rep
Lei X, Liu J, Du Y, Liu L, Yuan Y, Zhao X, Guo Z, Wu X.   +7 more
europepmc   +1 more source

Convolutional neural network-based deep learning for landslide susceptibility mapping in the Bakhtegan watershed. [PDF]

Sci Rep
Feng L, Zhang M, Mao Y, Liu H, Yang C, Dong Y, Nanehkaran YA.   +6 more
europepmc   +1 more source

Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment. [PDF]

Int J Environ Res Public Health, 2020
Nhu VH, Mohammadi A, Shahabi H, Ahmad BB, Al-Ansari N, Shirzadi A, Shirzadi A, Clague JJ, Jaafari A, Chen W, Nguyen H.   +10 more
europepmc   +1 more source

A new framework for landslide susceptibility mapping in contiguous impoverished areas using machine learning and catastrophe theory. [PDF]

Sci Rep
Zhou W, Zhou Y, Liang S, Zhang C, Dai H, Sun X.   +5 more
europepmc   +1 more source

"Ensembled transfer learning approach for error reduction in landslide susceptibility mapping of the data scare region". [PDF]

Sci Rep
Singh A, Dhiman N, Niraj KC, Shukla DP.
europepmc   +1 more source

Comparison of Random Forest Model and Frequency Ratio Model for Landslide Susceptibility Mapping (LSM) in Yunyang County (Chongqing, China). [PDF]

Int J Environ Res Public Health, 2020
Wang Y, Sun D, Wen H, Zhang H, Zhang F.
europepmc   +1 more source

Landslide susceptibility mapping using an entropy index-based negative sample selection strategy: A case study of Luolong county. [PDF]

PLoS One
Yuzhong K, Hua W, Chong X, Jingjing S, Kangcheng Z, Chenguang Z, Jianwei Z, Tong X, Taijin S, Zelin Z, Hui K.   +10 more
europepmc   +1 more source